• DocumentCode
    1334764
  • Title

    A general statistical model for ultrasonic backscattering from tissues

  • Author

    Shankar, P. Mohana

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
  • Volume
    47
  • Issue
    3
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    727
  • Lastpage
    736
  • Abstract
    The backscattered ultrasonic echo from tissue can be described in terms of Rayleigh distribution or K distribution. Even though both generalized K distribution and homodyned K distribution can account for some of the scattering conditions that exist in tissues, the analytical complexity involved with these distributions is significant. A much simpler generalized model based on the Nakagami distribution is proposed here. This model can describe the statistics of the envelope of the backscattered echo from an ensemble of scatterers with varying number densities, varying cross sections, and the presence or absence of regularly spaced scatterers. Computer simulations and experiments on tissue-mimicking phantoms have been undertaken to test the validity of the model. Results clearly show the versatility of the Nakagami distribution and its parameter to model the backscattered envelope from tissues. It is suggested that Nakagami distribution may be a good model for use in tissue characterization because of its simple analytical nature and ability to encompass different scattering conditions.
  • Keywords
    biological tissues; biomedical ultrasonics; echo; ultrasonic scattering; Nakagami distribution; echo; phantom; statistical model; tissue; ultrasonic backscattering; Acoustic scattering; Backscatter; Breast; Computer simulation; Imaging phantoms; Nakagami distribution; Radar scattering; Rayleigh scattering; Scattering parameters; Statistical distributions;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/58.842062
  • Filename
    842062